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AMD, AI and Meta

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Shacknews · 7h

AMD & Facebook (META) announce 6-gigawatt GPU deal to expand AI infrastructure

Meta has agreed to deploy up to 6 gigawatts of AMD Instinct GPUs to build out its AI technology development and models.

· 11h

AMD Expands Meta AI Partnership With A Massive 6 Gigawatt GPU Win

· 9h · on MSN

Meta, AMD reach deal to expand AI infrastructure

· 9h

Meta to buy AMD AI chips in $100 bn deal with option for 10% stake

Facebook owner Meta Platforms will buy artificial intelligence chips from Advanced Micro Devices in a deal that will also give it the opportunity to buy up to a 10 per cent stake of the chip company.

· 12h

Meta Announces Major Chips-for-Stock Deal With AMD

· 13h

AMD clinches second mega chip supply deal worth $60 billion, this time with Meta

· 10h

Meta inks deal with AMD to deploy 6GW of AI data center gear

The multi-year agreement will power Meta’s next-generation AI systems across multiple generations of AMD Instinct GPUs and 6th Gen AMD EPYC CPUs, codenamed “Venice” and “Verano,” running ROCm software...

· 11h

AMD stock jumps over 10% in premarket trading — what is driving the rally?

· 12h

Meta agrees $60bn deal with chipmaker AMD despite AI bubble fears

Forbes

AMD Announces MI350 GPU And Future Roadmap Details

Forbes contributors publish independent expert analyses and insights. Founder and Principal Analyst, Cambrian-AI Research LLC AMD held their now-annual Advancing AI event today in Silicon Valley, with new GPUs, new networking, new software, and even a rack ...

TweakTown

AMD's new Radeon AI PRO R9700 workstation GPU drops on July 23: full Navi 48 die and 32GB GDDR6

TL;DR: AMD will launch the Radeon AI PRO R9700 workstation GPU on July 23, featuring 32GB GDDR6 memory and RDNA 4 architecture. Optimized for AI workloads, it offers up to 496% faster inference than NVIDIA's RTX 5080 at half the price, supporting on ...

Geeky Gadgets

Which GPU Should Power Your Local AI : NVIDIA RTX 5060 Ti vs AMD RX 960 XT

What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets intricate software ecosystems, choosing the right ...